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Record W2518633588 · doi:10.18260/1-2--7624

Electronics Work Bench ® And Pspice ® Computer Aided Design Systems As Educational Tools For Second And Fourth Year University Courses In Electronics

2024· article· en· W2518633588 on OpenAlexaffabout
Martin P. Mintchev, Brent Maundy

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsWorkbenchElectronicsCADComputer Aided DesignComputer scienceMultimediaElectronic design automationSession (web analytics)Software engineeringEngineering managementSystems engineeringEngineering drawingEngineeringElectrical engineeringWorld Wide WebArtificial intelligenceVisualizationOperating systemEmbedded system

Abstract

fetched live from OpenAlex

The progress in development of comprehensive computer-aided design (CAD) tools for electronic systems is related to the efficiency of teaching both introductory and advanced courses in electronics at university level. Rapid development of graphical user interface (GUI) created opportunity to convert a personal computer into a virtual electronic development site and thus significantly simplify the applicability of these CAD systems in academic environment. The aim of this study was to compare both qualitatively and quantitatively the student utilization of two of the most popular CAD systems available on today's market, Electronics WorkBench and PSPICE. Twenty-nine second-year students and thirty four fourth-year students taking introductory and advanced courses in Electronics (Department of Electrical and Computer Engineering at the University of Calgary) volunteered to participate in the study, which examined the efficiency of their usage of the two systems in various assignments. The majority of junior students favored exposure to both systems, while the majority of senior students preferred Electronics WorkBench because of its quick learning curve and well-developed GUI environment. We conclude that visual CAD systems for electronic design are very well accepted by students.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.538

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.212
Teacher spread0.204 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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